activity
20192026
most citedUncovering the Limits of Machine Learning for Automatic Vulnerability Detection

3 citations · 5 across the 6 of their papers we have counts for

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2 papers · 1 filter

cs.CR2026

LLM-based Code Auditing by Inferring and Evaluating Developer Assumptions

Junming Liu, Marcel Böhme

When we see a null pointer check, we know that the developer believes that the pointer may not be initialized. If the same pointer is later used without a null pointer check, we ma…

cs.SE2026

LLM-Based Agents for Identifying Bug-Introducing Commits

Niklas Risse, Marcel Böhme

Śliwerski, Zimmermann, and Zeller (SZZ) just won the 2026 ACM SIGSOFT Impact Award for asking: When do changes induce fixes? Their paper from 2005 served as the foundation for a wi…